For the given network architecture shown in Figure.1, 1. Apply feed forward algorithm and determine the hidden layer and output layer outputs using binary activation function 2. Determine the Mean Square Error (MSE). ipi i/p₂ W 3 Inputs i/p 1 = 1, i/p 2 = 2 Targets: t1=1; t2=-1 W ₂ Weights W1 1 W2 1 W3 1 W4 1 W5 2 W6 2 W7 2 W8 2 b1 1 b2 1 Wb1 1 Wb2 1 W₁ Wbl b₁ W₁ Wbl h₁ h,net f(hnet) W6 W₁ h₂net f(h₂net)) W5 W 8 Wb2 Wb2 Onet f(Onet) O₂net f(O₂net E2 Table1. Input/output pattern
For the given network architecture shown in Figure.1, 1. Apply feed forward algorithm and determine the hidden layer and output layer outputs using binary activation function 2. Determine the Mean Square Error (MSE). ipi i/p₂ W 3 Inputs i/p 1 = 1, i/p 2 = 2 Targets: t1=1; t2=-1 W ₂ Weights W1 1 W2 1 W3 1 W4 1 W5 2 W6 2 W7 2 W8 2 b1 1 b2 1 Wb1 1 Wb2 1 W₁ Wbl b₁ W₁ Wbl h₁ h,net f(hnet) W6 W₁ h₂net f(h₂net)) W5 W 8 Wb2 Wb2 Onet f(Onet) O₂net f(O₂net E2 Table1. Input/output pattern
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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FUZZY
![For the given network architecture shown in Figure.1,
1. Apply feed forward algorithm and determine the hidden layer and output layer outputs using binary activation function
2. Determine the Mean Square Error (MSE).
Upi
i/p₂
W6
Inputs
i/p 1 = 1,
i/p 2 = 2
Targets:
t1=1;
t2=-1
W 3
Weights
W1 1
W2 1
W3 1
W4 1
W5
W7
·22 2 N
W8 2
W₂
b1 1
b2 1
Wb1
1
Wb2 1
W4
W bl
b₁
W₁
W bl
h₁
hnet f(hnet))
h₂net f(h₂net)
W6
W₁
Wb2
b2
W 5
W8
Wb2
0₁
Onet f(Onet)
O₂net f(O₂net)
E₁
E₂
Table1. Input/output pattern](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb2c6af05-d65f-47cd-8fdd-1e0ea99309a3%2F7472fc20-aeda-4505-93dd-e5023fc3e5cf%2Fdd1qjuu_processed.png&w=3840&q=75)
Transcribed Image Text:For the given network architecture shown in Figure.1,
1. Apply feed forward algorithm and determine the hidden layer and output layer outputs using binary activation function
2. Determine the Mean Square Error (MSE).
Upi
i/p₂
W6
Inputs
i/p 1 = 1,
i/p 2 = 2
Targets:
t1=1;
t2=-1
W 3
Weights
W1 1
W2 1
W3 1
W4 1
W5
W7
·22 2 N
W8 2
W₂
b1 1
b2 1
Wb1
1
Wb2 1
W4
W bl
b₁
W₁
W bl
h₁
hnet f(hnet))
h₂net f(h₂net)
W6
W₁
Wb2
b2
W 5
W8
Wb2
0₁
Onet f(Onet)
O₂net f(O₂net)
E₁
E₂
Table1. Input/output pattern
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